research
∙
02/13/2023
Parameter-efficient Modularised Bias Mitigation via AdapterFusion
Large pre-trained language models contain societal biases and carry alon...
share
research
∙
06/09/2022
Unlearning Protected User Attributes in Recommendations with Adversarial Training
Collaborative filtering algorithms capture underlying consumption patter...
research
∙
01/19/2022
Grep-BiasIR: A Dataset for Investigating Gender Representation-Bias in Information Retrieval Results
The provided contents by information retrieval (IR) systems can reflect ...
research
∙
08/16/2021
Analyzing Item Popularity Bias of Music Recommender Systems: Are Different Genders Equally Affected?
Several studies have identified discrepancies between the popularity of ...
research
∙
06/25/2021
A Modern Perspective on Query Likelihood with Deep Generative Retrieval Models
Existing neural ranking models follow the text matching paradigm, where ...
research
∙
05/10/2021
Not All Relevance Scores are Equal: Efficient Uncertainty and Calibration Modeling for Deep Retrieval Models
In any ranking system, the retrieval model outputs a single score for a ...
research
∙
03/14/2021